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Sets & Relations Posets Landscape of Transitive: Transitive - PowerPoint PPT Presentation

Sets & Relations Posets Landscape of Transitive: Transitive Relations Path from a to b implies edge (a,b) Acyclic Cannot follow a sequence of non-self-loop edges Anti-symmetric: Symmetric: and get back to where No bidirectional Only


  1. Sets & Relations Posets

  2. Landscape of Transitive: Transitive Relations Path from a to b implies edge (a,b) Acyclic Cannot follow a sequence of non-self-loop edges Anti-symmetric: Symmetric: and get back to where No bidirectional Only self-loops & you started from edges bidirectional edges ⊆ ≤ has same < last name as ! ancestor of ≡ Anti-Symmetric Symmetric

  3. Landscape of Transitive: Transitive Relations Path from a to b implies edge (a,b) Strict Partial Orders Irreflexive ancestor of < Anti-symmetric: Symmetric: No bidirectional Only self-loops & edges bidirectional edges ≤ has same ⊆ last name as Reflexive Partial ≡ Equivalences Orders Anti-Symmetric Symmetric Reflexive: Irreflexive: All self-loops No self-loops

  4. Partial Order Strict partial order: irreflexive, rather than reflexive A transitive, anti-symmetric and reflexive relation e.g. ≤ for integers, divides for integers, ⊆ for sets, “containment” for line-segments Equivalently, transitive and acyclic (and ir/reflexive) (a pair of bidirectional edges is a “cycle”) “Order” refers to these properties “Partial”: not every two elements need be “comparable” i.e., {a,b} s.t. neither a ⊑ b nor b ⊑ a e.g., neither A ⊆ B nor B ⊆ A

  5. Posets Partially ordered set (a.k.a Poset) S 2 A non-empty set and a partial order over it S 1 Denoted like (S, ≼ ) S 3 S 4 e.g. S = {S 1 ,S 2 ,S 3 ,S 4 ,S 5 } where Check: S 5 S 1 ={0,1,2,3}, S 2 ={1,2,3,4}, S 3 ={1,2,3}, - Anti-symmetric (no bidirectional edges), S 4 ={3,4}, and S 5 = {2}. Poset (S, ⊆ ) - Transitive, - Reflexive (all self-loops) More generally, (S, ⊆ ) where S is any set of sets Verify: P ⊆ P; P ⊆ Q ⋀ Q ⊆ R → P ⊆ R; P ⊆ Q ⋀ Q ⊆ P → P=Q e.g. Divisibility poset: ( Z + , | ) Verify: a|a ; a|b ⋀ b|c → a|c ; a|b ⋀ b|a → a=b

  6. Extremal & Extremum Maximal & minimal elements of a poset (S, ≼ ) x ∈ S is maximal if ∄ y ∈ S-{x} s.t. x ≼ y x ∈ S is minimal if ∄ y ∈ S-{x} s.t. y ≼ x Need not exist (e.g., in ( Z , ≤ )). Need not be unique when it exists (e.g., divisibility poset restricted to integers > 1) Claim: Every finite poset has at least one maximal and one minimal element Useful in induction proofs about finite posets Proof by induction on |S| [Exercise] x ∈ S is the greatest element if ∀ y ∈ S, y ≼ x Need not exist. Unique when one x ∈ S is the least element if ∀ y ∈ S, x ≼ y exists.

  7. Other Relations from a Poset Consider partial order ≼ ≺ is the reflexive reduction of ≼ iff ≼ is the reflexive closure of ≺ , and ≺ itself is irreflexive a ≺ b iff a ≠ b and a ≼ b ⊑ is the transitive reduction of ≼ iff ≼ is the transitive closure of ⊑ , and ∀ a,b ( a ⊑ b → ∄ m ∉ {a,b}, a ≼ m ≼ b ) Well-defined for finite posets: Define a ⊑ b iff a ≼ b and ∄ m ∉ {a,b}, a ≼ m ≼ b. [Prove by induction] Need not exist for infinite sets (e.g., for ( R , ≤ ), ⊑ defined as above is the equality relation)

  8. Running Example Divisibility poset: ( Z + , | ) Consider strict poset ( Z + , ⊏ ), where a ⊏ b iff b/a is prime Claim: | is the transitive closure of the reflexive closure of ⊏ [Verify] Claim: ⊏ is the transitive reduction of the reflexive reduction of | [Verify] 16 8 12 Note: Divisibility poset has 4 6 9 10 14 15 a transitive reduction 2 3 5 7 11 13 even though it is infinite 1

  9. Hasse Diagram For a poset (S, ≼ ), the transitive reduction of the reflexive reduction of ≼ , if it exists, has all the information about the poset Recall: For finite posets, guaranteed to exist Hasse Diagram: the graph of this relation (with arrowheads implicit) 16 8 12 4 6 9 10 14 15 2 3 5 7 11 13 1

  10. Bounding Elements Need not exist. Do exist in Need not be unique finite posets Given a poset (S, ≼ ) and T ⊆ S when one exists. Maximal element in T : x ∈ T s.t. ∀ y ∈ T, x ≼ y → y=x Minimal element in T : x ∈ T s.t. ∀ y ∈ T, y ≼ x → y=x Greatest element in T : x ∈ T s.t. ∀ y ∈ T y ≼ x Need not exist. Need not exist. Unique when one Unique when one Least element in T : x ∈ T s.t. ∀ y ∈ T, x ≼ y exists. exists. Upper Bound for T : x ∈ S s.t. ∀ y ∈ T, y ≼ x Lower Bound for T : x ∈ S s.t. ∀ y ∈ T, x ≼ y Least Upper Bound for T: Least in {x| x u.b. for T} Greatest Lower Bound for T: Greatest in {x| x l.b. for T}

  11. Running Example Divisibility poset: ( Z + , | ) Lower bound When is c a lower bound for T={a,b}? c|a and c|b ⇒ c is a common divisor for {a,b} Greatest lower bound for {a,b} = gcd(a,b) Upper bound d is an upper bound for {a,b} ⇒ a|d, b|d ⇒ d a common multiple for {a,b} Least upper bound for {a,b} = lcm(a,b)

  12. Total/Linear Order In some posets every two elements are “comparable”: for {a,b}, either a ⊑ b or b ⊑ a Can arrange all the elements in a line, with all possible right-pointing edges (plus, all self-loops) If finite, has unique maximal and unique minimal elements (left and right ends)

  13. Order Extension A poset P’=(S, ≤ ) is an extension of a poset P=(S, ≼ ) if ∀ a,b ∈ S, a ≼ b → a ≤ b Any finite poset can be extended to a total ordering (this is called topological sorting) Prove by induction on |S| Induction step: Remove a minimal element, extend to a total ordering, reintroduce the removed element as the minimum in the total ordering. For infinite posets? The “Order Extension Principle” is typically taken as an axiom! (Unless an even stronger axiom called the “Axiom of Choice” is used)

  14. Running Example Divisibility poset: ( Z + , | ) The totally ordered set ( Z + , ≤ ), where ≤ is the standard “less-than-or-equals” relation, is an extension of the divisibility poset Because a|b → a ≤ b Consider another totally ordered set ( Z + , ⊑ ): For any (a,b) ∈ Z + × Z + , a ⊑ b iff: a=1, or a,b both prime or both composite, and a ≤ b, or a prime and b composite ( Z + , ⊑ ) extends the divisibility poset [Exercise]

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